MacBook Pro (13-inch, 2022)
Geekbench ML Score
2683
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | November 22 2025 06:24 PM |
| Views | 18 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C5048a) |
| Model | MacBook Pro (13-inch, 2022) |
| Model ID | Mac14,7 |
| Motherboard | Mac14,7 |
| CPU Information | |
|---|---|
| Name | Apple M2 |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M2 |
| Base Frequency | 2.60 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| L1 Instruction Cache | 128 KB x 1 |
| L1 Data Cache | 64.0 KB x 1 |
| L2 Cache | 4.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1014
189.7 IPS |
|
|
Image Classification (F16)
|
100% |
1425
266.6 IPS |
|
|
Image Classification (I8)
|
99% |
1805
337.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
581
9.71 IPS |
|
|
Image Segmentation (F16)
|
100% |
905
15.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
660
11.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
4112
4.98 IPS |
|
|
Pose Estimation (F16)
|
100% |
10460
12.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
11438
13.9 IPS |
|
|
Object Detection (F32)
|
100% |
985
73.6 IPS |
|
|
Object Detection (F16)
|
100% |
2058
153.6 IPS |
|
|
Object Detection (I8)
|
97% |
1175
87.7 IPS |
|
|
Face Detection (F32)
|
100% |
1861
22.1 IPS |
|
|
Face Detection (F16)
|
97% |
2515
29.9 IPS |
|
|
Face Detection (I8)
|
96% |
3134
37.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
4542
35.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
9051
70.2 IPS |
|
|
Depth Estimation (I8)
|
99% |
9400
72.9 IPS |
|
|
Style Transfer (F32)
|
100% |
6501
8.55 IPS |
|
|
Style Transfer (F16)
|
100% |
21954
28.9 IPS |
|
|
Style Transfer (I8)
|
100% |
20855
27.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3184
113.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3788
135.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
3355
119.8 IPS |
|
|
Text Classification (F32)
|
100% |
1539
2.21 KIPS |
|
|
Text Classification (F16)
|
100% |
2747
3.95 KIPS |
|
|
Text Classification (I8)
|
96% |
3106
4.46 KIPS |
|
|
Machine Translation (F32)
|
100% |
786
14.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1126
20.7 IPS |
|
|
Machine Translation (I8)
|
99% |
861
15.8 IPS |
